Literature DB >> 19775333

Breast cancer risk assessments comparing Gail and CARE models in African-American women.

Lucile L Adams-Campbell1, Kepher H Makambi, Wayne A I Frederick, Melvin Gaskins, Robert L Dewitty, Worta McCaskill-Stevens.   

Abstract

The Gail model has been used to predict invasive breast cancer risk in women using risk factors of age, age at menarche, age at first live birth, number of first-degree relatives with breast cancer, and number of previous benign breast biopsies. However, this model underestimates breast cancer risk in African-American women. The Contraceptive and Reproductive Experience (CARE) model has been developed to replace the Gail model in predicting breast cancer risk in African-American women. In a sample of 883 women who participated in the breast cancer screening program at Howard University Cancer Center, we compared the breast cancer risk estimates from the Gail model and the CARE model. The mean 5-year breast cancer risk was 0.88% (Range: 0.18-6.60%) for the Gail model and 1.29% (Range: 0.20-4.50%) for the CARE model. Using the usual cutoff-point of 1.67% or above for elevated risk, there is a significant difference in the proportion of women with elevated breast cancer risk between the Gail and the CARE models (McNemar's test, p < 0.0001). For both models, there was a significant mean risk difference between those with and without a family history of breast cancer (Wilcoxon rank-sum test, p < 0.0001). Our results confirm the need for validation of the Gail model in African-Americans and diversity in research. Although these findings are not perfect and perhaps not definitive, they are additive in the discussions during counseling and risk assessment in African-Americans. Furthermore, these findings will be complemented by new technologies such as genomics in refining our ability to assess risk.

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Year:  2009        PMID: 19775333      PMCID: PMC3760176          DOI: 10.1111/j.1524-4741.2009.00824.x

Source DB:  PubMed          Journal:  Breast J        ISSN: 1075-122X            Impact factor:   2.431


  11 in total

1.  Effects of tamoxifen vs raloxifene on the risk of developing invasive breast cancer and other disease outcomes: the NSABP Study of Tamoxifen and Raloxifene (STAR) P-2 trial.

Authors:  Victor G Vogel; Joseph P Costantino; D Lawrence Wickerham; Walter M Cronin; Reena S Cecchini; James N Atkins; Therese B Bevers; Louis Fehrenbacher; Eduardo R Pajon; James L Wade; André Robidoux; Richard G Margolese; Joan James; Scott M Lippman; Carolyn D Runowicz; Patricia A Ganz; Steven E Reis; Worta McCaskill-Stevens; Leslie G Ford; V Craig Jordan; Norman Wolmark
Journal:  JAMA       Date:  2006-06-05       Impact factor: 56.272

Review 2.  Weighing the risks and benefits of tamoxifen treatment for preventing breast cancer.

Authors:  M H Gail; J P Costantino; J Bryant; R Croyle; L Freedman; K Helzlsouer; V Vogel
Journal:  J Natl Cancer Inst       Date:  1999-11-03       Impact factor: 13.506

3.  Validation studies for models projecting the risk of invasive and total breast cancer incidence.

Authors:  J P Costantino; M H Gail; D Pee; S Anderson; C K Redmond; J Benichou; H S Wieand
Journal:  J Natl Cancer Inst       Date:  1999-09-15       Impact factor: 13.506

4.  Projecting individualized probabilities of developing breast cancer for white females who are being examined annually.

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Journal:  J Natl Cancer Inst       Date:  1989-12-20       Impact factor: 13.506

5.  Autosomal dominant inheritance of early-onset breast cancer. Implications for risk prediction.

Authors:  E B Claus; N Risch; W D Thompson
Journal:  Cancer       Date:  1994-02-01       Impact factor: 6.860

6.  A computer program for estimating individualized probabilities of breast cancer.

Authors:  J Benichou
Journal:  Comput Biomed Res       Date:  1993-08

7.  Effect of BRCA1 and BRCA2 on the association between breast cancer risk and family history.

Authors:  E B Claus; J Schildkraut; E S Iversen; D Berry; G Parmigiani
Journal:  J Natl Cancer Inst       Date:  1998-12-02       Impact factor: 13.506

8.  Enrollment of African Americans onto clinical treatment trials: study design barriers.

Authors:  Lucile L Adams-Campbell; Chiledum Ahaghotu; Melvin Gaskins; Fitzroy W Dawkins; Duane Smoot; Octavius D Polk; Robert Gooding; Robert L DeWitty
Journal:  J Clin Oncol       Date:  2004-02-15       Impact factor: 44.544

9.  Projecting individualized absolute invasive breast cancer risk in African American women.

Authors:  Mitchell H Gail; Joseph P Costantino; David Pee; Melissa Bondy; Lisa Newman; Mano Selvan; Garnet L Anderson; Kathleen E Malone; Polly A Marchbanks; Worta McCaskill-Stevens; Sandra A Norman; Michael S Simon; Robert Spirtas; Giske Ursin; Leslie Bernstein
Journal:  J Natl Cancer Inst       Date:  2007-11-27       Impact factor: 13.506

10.  Validation of a breast cancer risk assessment model in women with a positive family history.

Authors:  M L Bondy; E D Lustbader; S Halabi; E Ross; V G Vogel
Journal:  J Natl Cancer Inst       Date:  1994-04-20       Impact factor: 13.506

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  15 in total

1.  Prospective approach to breast cancer risk prediction in African American women: the black women's health study model.

Authors:  Deborah A Boggs; Lynn Rosenberg; Lucile L Adams-Campbell; Julie R Palmer
Journal:  J Clin Oncol       Date:  2015-01-26       Impact factor: 44.544

2.  An exercise trial targeting African-American women with metabolic syndrome and at high risk for breast cancer: Rationale, design, and methods.

Authors:  Chiranjeev Dash; Kepher Makambi; Sherrie F Wallington; Vanessa Sheppard; Teletia R Taylor; Jennifer S Hicks; Lucile L Adams-Campbell
Journal:  Contemp Clin Trials       Date:  2015-05-08       Impact factor: 2.226

3.  Correlates of unrealistic risk beliefs in a nationally representative sample.

Authors:  Erika A Waters; William M P Klein; Richard P Moser; Mandi Yu; William R Waldron; Timothy S McNeel; Andrew N Freedman
Journal:  J Behav Med       Date:  2010-11-26

4.  Effect of exercise on metabolic syndrome in black women by family history and predicted risk of breast cancer: The FIERCE Study.

Authors:  Chiranjeev Dash; Teletia R Taylor; Kepher H Makambi; Jennifer Hicks; James M Hagberg; Lucile L Adams-Campbell
Journal:  Cancer       Date:  2018-07-05       Impact factor: 6.860

5.  Assessment of the Gail Model in Estimating the Risk of Breast Cancer: Effect of Cancer Worry and Risk in Healthy Women.

Authors:  Abdulbari Bener; Cem Cahit Barışık; Ahmet Acar; Yaşar Özdenkaya
Journal:  Asian Pac J Cancer Prev       Date:  2019-06-01

6.  National Surgical Adjuvant Breast and Bowel Project Study of Tamoxifen and Raloxifene trial: advancing the science of recruitment and breast cancer risk assessment in minority communities.

Authors:  Worta McCaskill-Stevens; John W Wilson; Elise D Cook; Cora L Edwards; Regina V Gibson; Diane L McElwain; Colmar D Figueroa-Moseley; Electra D Paskett; Noma L Roberson; D Lawrence Wickerham; Norman Wolmark
Journal:  Clin Trials       Date:  2013-01-18       Impact factor: 2.486

7.  Inflammation markers on benign breast biopsy are associated with risk of invasive breast cancer in African American women.

Authors:  Asra N Shaik; Katrin Kiavash; Karri Stark; Julie L Boerner; Julie J Ruterbusch; Hany Deirawan; Sudeshna Bandyopadhyay; Rouba Ali-Fehmi; Gregory Dyson; Michele L Cote
Journal:  Breast Cancer Res Treat       Date:  2020-10-28       Impact factor: 4.872

8.  Evaluation of 2 breast cancer risk models in a benign breast disease cohort.

Authors:  Ryan D Frank; Stacey J Winham; Robert A Vierkant; Marlene H Frost; Derek C Radisky; Karthik Ghosh; Kathleen R Brandt; Mark E Sherman; Daniel W Visscher; Lynn C Hartmann; Amy C Degnim; Celine M Vachon
Journal:  Cancer       Date:  2018-06-22       Impact factor: 6.860

Review 9.  Association of Combined Estrogen-Progestogen and Progestogen-Only Contraceptives with the Development of Cancer.

Authors:  William V Williams; Louise A Mitchell; S Kathleen Carlson; Kathleen M Raviele
Journal:  Linacre Q       Date:  2019-01-03

10.  Personalized medicine and access to health care: potential for inequitable access?

Authors:  Kelly A McClellan; Denise Avard; Jacques Simard; Bartha M Knoppers
Journal:  Eur J Hum Genet       Date:  2012-07-11       Impact factor: 4.246

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